Title :
Adaptive control of partial functions in genetic programming
Author :
Essam, Daryl ; McKay, R.I.
Author_Institution :
Sch. of Comput. Sci., New South Wales Univ., Campbell, ACT, Australia
Abstract :
The paper investigates the use of partial functions in genetic programming. Previous work (R.I. McKay, 2000), has shown that the convergent behaviour of populations of partial functions is very similar to that of populations of total functions. However the convergence rates of populations of partial functions have been slower. The results presented demonstrate a significant improvement in the rate of convergence of populations of partial functions, and indicate that partial functions represent a realistic alternative to total functions for a range of problems
Keywords :
adaptive control; computational complexity; convergence; functions; genetic algorithms; adaptive control; convergence rates; convergent behaviour; genetic programming; partial functions; realistic alternative; total functions; Adaptive control; Australia; Computational efficiency; Computer science; Convergence; Data structures; Drives; Educational institutions; Genetic programming; Particle measurements;
Conference_Titel :
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location :
Seoul
Print_ISBN :
0-7803-6657-3
DOI :
10.1109/CEC.2001.934285
